The database is intended for the development and objective comparison of algorithms designed to assess the quality of ECG records. It also enables objective comparison of results between authors.
Published: July 22, 2020.
Machine learning models that have been trained using MIMIC-III to enable the creation of synthetic discharge summaries.
Published: May 27, 2020.
Heart sound segmentation code, based on a duration-dependent hidden Markov model, extended with the use of logistic regression for emission probability estimation and an enhanced Viterbi algorithm.
Published: July 29, 2019.
Dataset extracted from MIMIC-II for a tutorial on effectiveness of indwelling arterial catheters in hemodynamically stable patients with respiratory failure for mortality outcomes.
Published: Oct. 28, 2016.
Analysis of biomedical time series plays a key role in clinical management and basic investigation. However, most conventional monitors streaming data in real-time show only the most recent values, not referenced to past dynamics. The proposed visua…
Published: Nov. 9, 2015.
Annotated excerpts of ambulatory ECG recordings from 79 subjects, designed for evaluation of algorithms for analysis of ST and T-wave changes.
Published: Nov. 27, 2009.
In its June 2008 issue, the editors of Chaos announced a new feature, "Controversial Topics in Nonlinear Dynamics". The first controversial topic to be aired is "Is the Normal Heart Rate Chaotic?". This project provides data to explore this question.
Published: Oct. 30, 2008.